Publications

• Lee, D., Jin, H., Shim, H., Ahn, J., & Choi, H. L. (2016). Two-phase experimental design with adaptive subspacing for wind tunnel testing based aerodynamic modeling. Journal of Mechanical Science and Technology, 30(11), 5041-5050. https://doi.org/10.1007/s12206-016-1023-7

• Lee, D., & Ahn, J. (2018). Integrated optimization of planetary rover layout and exploration routes. Engineering Optimization, 50(1), 164-182. https://doi.org/10.1080/0305215X.2017.1299718

• Lee, D., & Ahn, J. (2019). Vehicle Routing Problem with Vector Profits with Max-Min Criterion. Engineering Optimization, 51(2), 352-367. https://doi.org/10.1080/0305215X.2018.1458845

• Lee, D., & Cha, D. (2020). Path optimization of a single surveillance drone based on reinforcement learning. International Journal of Mechanical Engineering and Robotics Research, 9(12), 1541-1547. https://doi.org/10.18178/ijmerr.9.12.1541-1547

• Lee, D., & Choi, Y. (2022). MultiEarth 2022 Deforestation Challenge - ForestGump, CVPR MultiEarth Workshop. (https://arxiv.org/abs/2206.10831)

• Park, S., Lee, D., Choi, Y., Moon, S. (2023). MultiEarth 2023 Deforestation Challenge – FOREVER, CVPR MultiEarth Workshop. (https://arxiv.org/abs/2306.11762)

• Lee, D., & Choi, Y. (2023). A Learning Strategy for Amazon Deforestation Estimations Using Multi-Modal Satellite Imagery, Remote Sensing 15(21), 5167. https://doi.org/10.3390/rs15215167 

• Choi, Y., Lee, D., & Moon, S. (2024). Deforestation Segmentation Approach based on Time of Event Occurrence using Multi-temporal Satellite Data, IEEE Sensors Letters, https://doi.org/10.1109/LSENS.2024.3512880

• Lee, D., & Choi, Y. (2025). Generating High-Resolution Labels Using a Low-Resolution Amazon Deforestation Dataset and Pseudo-Labeling Techniques, Korean J. Remote Sens. 41(1), 111-119. https://doi.org/10.7780/kjrs.2025.41.1.10